Identification of environment

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Identification of environment

2024-05-13 20:26| 来源: 网络整理| 查看: 265

The primary objective of rapeseed breeding is to enhance oil content, which is predominantly influenced by environmental factors. However, the molecular mechanisms underlying the impact of these environmental factors on oil accumulation remain inadequately elucidated. In this study, we used transcriptome data from two higher (HOC) and two lower oil content (LOC) inbred lines at 35 days after pollination (DAP) to investigate genes exhibiting stable expression across three different environments. Meanwhile, a genome-wide association study (GWAS) was utilized to detect candidate genes exhibiting significant associations with seed oil content across three distinct environments. The study found a total of 405 stable differentially expressed genes (DEGs), including 25 involved in lipid/fatty acid metabolism and 14 classified as transcription factors. Among these genes, BnBZIP10-A09, BnMYB61-A06, BnAPA1-A08, BnPAS2-A10, BnLCAT3-C05 and BnKASIII-C09 were also found to exhibit significant associations with oil content across multiple different environments based on GWAS of 50 re-sequenced semi-winter rapeseed inbred lines and previously reported intervals. Otherwise, we revealed the presence of additive effects among BnBZIP10-A09, BnKASIII-C09, BnPAS2-A10 and BnAPA1-A08, resulting in a significant increase in seed oil content. Meanwhile, the majority of these stable DEGs are interconnected either directly or indirectly through co-expression network analysis, thereby giving rise to an elaborate molecular network implicated in the potential regulation of seed oil accumulation and stability. The combination of transcription and GWAS revealed that natural variation in six environment-insensitive gene regions exhibited significant correlations with seed oil content phenotypes. These results provide important molecular marker information for us to further improve oil content accumulation and stability in rapeseed.

中文翻译:

转录组与全基因组关联分析相结合鉴定油菜含油量环境不敏感基因

油菜育种的首要目标是提高含油量,而含油量主要受环境因素影响。然而,这些环境因素对石油积累影响的分子机制仍未得到充分阐明。在这项研究中,我们使用授粉后 35 天 (DAP) 的两个较高 (HOC) 和两个较低含油量 (LOC) 自交系的转录组数据来研究在三种不同环境中表现出稳定表达的基因。同时,利用全基因组关联研究(GWAS)来检测与三种不同环境中的种子油含量显着相关的候选基因。该研究总共发现了405个稳定的差异表达基因(DEG),其中25个涉及脂质/脂肪酸代谢,14个被归类为转录因子。在这些基因中,基于 50 个重新测序的半个基因的 GWAS,还发现 BnBZIP10-A09、BnMYB61-A06、BnAPA1-A08、BnPAS2-A10、BnLCAT3-C05 和 BnKASIII-C09 与多个不同环境中的油含量显着相关。 -冬季油菜籽自交系和先前报告的间隔。另外,我们揭示了 BnBZIP10-A09、BnKASIII-C09、BnPAS2-A10 和 BnAPA1-A08 之间存在加和效应,导致种子油含量显着增加。同时,大多数这些稳定的DEG通过共表达网络分析直接或间接地相互连接,从而产生了一个复杂的分子网络,该网络涉及种子油积累和稳定性的潜在调节。转录和 GWAS 的结合表明,六个环境不敏感基因区域的自然变异与种子含油量表型表现出显着的相关性。这些结果为我们进一步提高油菜籽含油量积累和稳定性提供了重要的分子标记信息。



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